Publisher Springer-Verlag
Author(s) Zongmin Ma
ISBN 3540306757
Release Date 14 March 2006

This book presents recent advances for imprecise and uncertain engineering information from the point of view of fuzzy database modeling. The topics include fuzzy conceptual data modeling of engineering information, conversion of the fuzzy conceptual models, and database implementation of the fuzzy conceptual data models. Some major data and database models for engineering information modeling are investigated. The main novel aspect of this book is that the book focuses on imprecise and uncertain industrial information modeling viewed from databases and fuzzy database technologies viewed from industrial applications. This may be useful for people involved in theory research, design implementation, and application development of intelligent engineering databases.

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Publisher Prentice Hall
Author(s) Biing-Hwang Juang
ISBN 0130151572
Release Date 12 April 1993

Provides a theoretically sound, technically accurate, and complete description of the basic knowledge and ideas that constitute a modern system for speech recognition by machine. Covers production, perception, and acoustic-phonetic characterization of the speech signal; signal processing and analysis methods for speech recognition; pattern comparison techniques; speech recognition system design and implementation; theory and implementation of hidden Markov models; speech recognition based on connected word models; large vocabulary continuous speech recognition; and task- oriented application of automatic speech recognition. For practicing engineers, scientists, linguists, and programmers interested in speech recognition.

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Publisher The MIT Press
Author(s) Alexander J. Smola
ISBN 0262194759
Release Date 15 December 2001

In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs—-kernels–for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tasks and domains by the choice of the kernel function and the base algorithm. They are replacing neural networks in a variety of fields, including engineering, information retrieval, and bioinformatics.

Learning with Kernels provides an introduction to SVMs and related kernel methods. Although the book begins with the basics, it also includes the latest research. It provides all of the concepts necessary to enable a reader equipped with some basic mathematical knowledge to enter the world of machine learning using theoretically well-founded yet easy-to-use kernel algorithms and to understand and apply the powerful algorithms that have been developed over the last few years.

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Publisher CRC Press
Author(s) Lofti A. Zadeh
ISBN 0849398037
Release Date 28 September 1998

Comprehensively addresses the more important developments in the use of intelligent techniques in solving industrial problems. Singularly reflects the increasing study of computational intelligence techniques for designing and monitoring complex, less predictable electrical or mechanical systems

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Publisher World Scientific Publishing Company
Author(s) Abraham Kandel
ISBN 9810233124
Release Date 01 December 1999

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Publisher CRC Press
Author(s) Gideon Langholz
ISBN 0849342295
Release Date 21 February 1992

Hybrid architecture for intelligent systems is a new field of artificial intelligence concerned with the development of the next generation of intelligent systems. This volume is the first book to delineate current research interests in hybrid architectures for intelligent systems. The book is divided into two parts. The first part is devoted to the theory, methodologies, and algorithms of intelligent hybrid systems. The second part examines current applications of intelligent hybrid systems in areas such as data analysis, pattern classification and recognition, intelligent robot control, medical diagnosis, architecture, wastewater treatment, and flexible manufacturing systems. Hybrid Architectures for Intelligent Systems is an important reference for computer scientists and electrical engineers involved with artificial intelligence, neural networks, parallel processing, robotics, and systems architecture.

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Publisher The MIT Press
Author(s) John R. Koza
ISBN 0262111705
Release Date 11 December 1992

Genetic programming may be more powerful than neural networks and other machine learning techniques, able to solve problems in a wider range of disciplines. In this ground-breaking book, John Koza shows how this remarkable paradigm works and provides substantial empirical evidence that solutions to a great variety of problems from many different fields can be found by genetically breeding populations of computer programs. Genetic Programming contains a great many worked examples and includes a sample computer code that will allow readers to run their own programs.

In getting computers to solve problems without being explicitly programmed, Koza stresses two points: that seemingly different problems from a variety of fields can be reformulated as problems of program induction, and that the recently developed genetic programming paradigm provides a way to search the space of possible computer programs for a highly fit individual computer program to solve the problems of program induction. Good programs are found by evolving them in a computer against a fitness measure instead of by sitting down and writing them.

John R. Koza is Consulting Associate Professor in the Computer Science Department at Stanford University.

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Publisher Springer-Verlag
Author(s) Nikhil R. Pal
ISBN 0387245154
Release Date 25 March 2005

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering.

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Publisher Springer-Verlag
Author(s) Guido Lanza
ISBN 0387250670
Release Date 21 March 2005

Genetic Programming IV: Routine Human-Competitive Machine Intelligence presents the application of GP to a wide variety of problems involving automated synthesis of controllers, circuits, antennas, genetic networks, and metabolic pathways. The book describes fifteen instances where GP has created an entity that either infringes or duplicates the functionality of a previously patented 20th-century invention, six instances where it has done the same with respect to post-2000 patented inventions, two instances where GP has created a patentable new invention, and thirteen other human-competitive results. The book additionally establishes:

GP now delivers routine human-competitive machine intelligence

GP is an automated invention machine

GP can create general solutions to problems in the form of parameterized topologies

GP has delivered qualitatively more substantial results in synchrony with the relentless iteration of Moore’s Law

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Publisher Springer-Verlag
Author(s) Srikanta Patnaik
ISBN 354026549X
Release Date 01 October 2005

This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforcement learning for a mobile robot, object tracking and motion estimation, 3D model construction, computer vision system and user modelling using dialogue strategies. This book will appeal to researchers, senior undergraduate/postgraduate students, application engineers and scientists.

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Publisher Springer-Verlag
Author(s) Nigel C. Steele
ISBN 3211249346
Release Date 03 May 2005

The papers in this volume present theoretical insights and report practical applications both for neural networks, genetic algorithms and evolutionary computation. In the field of natural computing, swarm optimization, bioinformatics and computational biology contributions are no less compelling. A wide selection of contributions report applications of neural networks to process engineering, robotics and control. Contributions also abound in the field of evolutionary computation particularly in combinatorial and optimization problems. Many papers are dedicated to machine learning and heuristics, hybrid intelligent systems and soft computing applications. Some papers are devoted to quantum computation. In addition, kernel based algorithms, able to solve tasks other than classification, represent a revolution in pattern recognition bridging existing gaps. Further topics are intelligent signal processing and computer vision.

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Publisher Morgan Kaufmann Publishers
Author(s) Nils J. Nilsson
ISBN 1558604677
Release Date 01 April 1998

Intelligent agents are employed as the central characters in this new introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents. The book provides a refreshing and motivating new synthesis of the field by one of AI’s master expositors and leading researchers. Artificial Intelligence: A New Synthesis takes the reader on a complete tour of this intriguing new world of AI.

* An evolutionary approach provides a unifying theme
* Thorough coverage of important AI ideas, old and new
* Frequent use of examples and illustrative diagrams
* Extensive coverage of machine learning methods throughout the text
* Citations to over 500 references
* Comprehensive index

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Publisher The MIT Press
Author(s) John McWhirter
ISBN 0262083485
Release Date 01 October 2006

Signal processing and neural computation have separately and significantly influenced many disciplines, but the cross-fertilization of the two fields has begun only recently. Research now shows that each has much to teach the other, as we see highly sophisticated kinds of signal processing and elaborate hierachical levels of neural computation performed side by side in the brain. In New Directions in Statistical Signal Processing, leading researchers from both signal processing and neural computation present new work that aims to promote interaction between the two disciplines.

The book’s 14 chapters, almost evenly divided between signal processing and neural computation, begin with the brain and move on to communication, signal processing, and learning systems. They examine such topics as how computational models help us understand the brain’s information processing, how an intelligent machine could solve the “cocktail party problem” with “active audition” in a noisy environment, graphical and network structure modeling approaches, uncertainty in network communications, the geometric approach to blind signal processing, game-theoretic learning algorithms, and observable operator models (OOMs) as an alternative to hidden Markov models (HMMs).

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Publisher Edinburgh Univ Pr
Author(s) Matt Carter
ISBN 0748620990
Release Date 01 September 2007

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Publisher Jones & Bartlett Publishers
Author(s) Ben Coppin
ISBN 0763732303
Release Date 01 March 2004

Artificial Intelligence Illuminated presents an overview of the background and history of artificial intelligence, emphasizing its importance in today’s society and potential for the future. The book covers a range of AI techniques, algorithms, and methodologies, including game playing, intelligent agents, machine learning, genetic algorithms, and Artificial Life. Material is presented in a lively and accessible manner and the author focuses on explaining how AI techniques relate to and are derived from natural systems, such as the human brain and evolution, and explaining how the artificial equivalents are used in the real world. Each chapter includes student exercises and review questions, and a detailed glossary at the end of the book defines important terms and concepts highlighted throughout the text.

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Publisher Springer-Verlag
Author(s) James J. Buckley
ISBN 3540241167
Release Date 24 March 2005

Simulating Fuzzy Systems demonstrates how many systems naturally become fuzzy systems and shows how regular (crisp) simulation can be used to estimate the alpha-cuts of the fuzzy numbers used to analyze the behavior of the fuzzy system. This monograph presents a concise introduction to fuzzy sets, fuzzy logic, fuzzy estimation, fuzzy probabilities, fuzzy systems theory, and fuzzy computation. It also presents a wide selection of simulation applications ranging from emergency rooms to machine shops to project scheduling, showing the varieties of fuzzy systems.

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Publisher: Springer
Number Of Pages: 524
Publication Date: 2004-11-23
Sales Rank: 1552200
ISBN / ASIN: 3540224807
EAN: 9783540224808
Binding: Hardcover
Manufacturer: Springer
Studio: Springer

Book Description: )
This monograph presents a well written and clearly organized introduction in the standard methods of discrete, continuous and hybrid Petri Nets. Starting from the basics of Petri Nets the book imparts an accurate understanding of continuous and hybrid Petri Nets. Preserving the consistency of basic concepts throughout the text it introduces a unified framework for all the models presented. The book is a scientific monograph as well as a didactic tutorial which is easy to understand due to many exercises with solutions, detailed figures and several case studies. It demonstrates that Petri nets are a deep, practical and alive field important for researchers, engineers and graduate students in engineering and computer science.
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Publisher: Springer
Number Of Pages: 478
Publication Date: 2006-07-11
Sales Rank: 1750749
ISBN / ASIN: 3540327967
EAN: 9783540327967
Binding: Hardcover
Manufacturer: Springer
Studio: Springer

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Publisher: Springer
Number Of Pages: 566
Publication Date: 2006-06-02
Sales Rank: 2079575
ISBN / ASIN: 1846283027
EAN: 9781846283024
Binding: Hardcover
Manufacturer: Springer
Studio: Springer

Book Description: )
Conventional model-based data processing methods are computationally expensive and require experts’ knowledge for the modelling of a system; neural networks provide a model-free, adaptive, parallel-processing solution. Neural Networks in a Softcomputing Framework presents a thorough review of the most popular neural-network methods and their associated techniques. This concise but comprehensive textbook provides a powerful and universal paradigm for information processing. Each chapter provides state-of-the-art descriptions of the important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms, are introduced. These are powerful tools for neural-network learning. Array signal processing problems are discussed in order to illustrate the applications of each neural-network model. Neural Networks in a Softcomputing Framework is an ideal textbook for graduate students and researchers in this field because in addition to grasping the fundamentals, they can discover the most recent advances in each of the popular models. The systematic survey of each neural-network model and the exhaustive list of references will enable researchers and students to find suitable topics for future research. The important algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence.
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ISBN: 0750676833Title: Designing Autonomous Mobile Robots : Inside the Mind of an Intelligent MachineAuthor: John M. HollandPublisher: NewnesPublication Date: 2003-12-15Number Of Pages: 352Average Amazon Rating: 5.0
Designing Autonomous Mobile Robots introduces the reader to the fundamental concepts of this complex field. The author addresses all the pertinent topics of the electronic hardware and software of mobile robot design, with particular emphasis on the more difficult problems of control, navigation, and sensor interfacing. Covering topics such as advanced sensor fusion, control systems for a wide array of application sensors and instrumentation, and fuzzy logic applications, this volume is essenti …

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Publisher: Springer
Number Of Pages: 268
Publication Date: 2005-10-11
Sales Rank: 1471501
ISBN / ASIN: 0387253718
EAN: 9780387253718
Binding: Paperback
Manufacturer: Springer Book Description:
This is the second edition of a text devoted to the development of the visual system. The author is one of the leaders in the field of visual neuroscience, currently one of the hottest areas in neuroscience. Visual Development, 2e, covers (i) development of the visual system, (ii) effects of visual deprivation, (iii) mechanisms by which visual deprivation produces its effects, and (iv) a list of some fundamental questions that need to be answered.
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Publisher: Springer
Number Of Pages: 802
Publication Date: 2006-10-19
Sales Rank:
ISBN / ASIN: 3540347801
EAN: 9783540347804
Binding: Paperback
Manufacturer: SpringeBook Description:
This book constitutes the refereed proceedings of the International Conference on Computational Intelligence, 6th Dortmund Fuzzy Days, held in Dortmund, Germany, in May 1999.The 68 revised full papers presented were carefully reviewed and selected from an overwhelming number of submissions. Also included are three invited contributions and 13 poster presentations. The papers are devoted to foundational and practical issues in fuzzy systems, neural networks, and genetic algorithms and thus cover the whole range of computational intelligence.
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Publisher: Springer
Number Of Pages: 372
Publication Date: 2005-10-18
Sales Rank: 1581310
ISBN / ASIN: 1852339489
EAN: 9781852339487
Binding: Hardcover Book Description:
Foresight can be crucial in process and production control, production-and-resources planning and in management decision making generally. Although forecasting the future from accumulated historical data has become a standard and reliable method in production and financial engineering, as well as in business and management, the use of time series analysis in the on-line milieu of most industrial plants has been more problematic because of the time and computational effort required.
The advent of intelligent computational technologies such as the neural network and the genetic algorithm promotes the efficient solution of on-line forecasting problems. Their most outstanding successes include:
prediction of nonlinear time series and the nonlinear combination of forecasts using neural networks;
prediction of chaotic time series and of output data for second-order nonlinear plant using fuzzy logic.
The power of intelligent technologies applied individually and in combination, has created advanced forecasting methodologies, exemplified in Computational Intellingence in Time Series Forecasting by particular systems and processes. The authors give a comprehensive exposition of the improvements on offer in quality, model building and predictive control, and the selection of appropriate tools from the plethora available using such examples as:
forecasting of electrical load and of output data for nonlinear plant with neuro-fuzzy networks;
temperature prediction and correction in pyrometer reading, tool-wear monitoring and materials property prediction using hybrid intelligent technologies;
evolutionary training of neuro-fuzzy networks by the use of genetic algorithms and prediction of chaotic time series;
isolated use of neural networks and fuzzy logic in the nonlinear combination of traditional forecasts of temperature series obtained from a pilot-scale chemical reactor with temporarily disconnected controller.
Application-oriented engineers in process control, manufacturing, the production industries and research centres will find much to interest them in Computational Intelligence in Time Series Forecasting and the book is suitable for industrial training purposes. It will also serve as valuable reference material for experimental researchers.
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Publisher: Morgan Kaufmann
Number Of Pages: 486
Publication Date: 2004-04-07
Sales Rank: 53465
ISBN / ASIN: 1558608192
EAN: 9781558608191
Binding: Hardcover
Manufacturer: Morgan Kaufmann
Studio: Morgan Kaufmann
The best one volume book out there, but not perfect
This is the best single volume book on the subject of information visualisation that I’ve read. Sure, there are other very nice books on diagrams, maps, data analysis, modelling and scientific visualisation. However, none of them have the scope of this book.
And therein lies the problem. For a single volume book Ware’s effort tries to cover too much and some of the chapters are quite weak (chapter 0 and 10). Also, the fact that it was written by a psychologist shows in a good and bad way: human visual cognition is correctly the foundation upon which to build visualisation. Unfortunately the examples and the ideas for implementation are often lacking or poor in quality.
The first edition also has typesetting errors, so be sure to get the second edition.
All in all, it’s still a book worth getting if you’re in any serious way connected with the practise of visualisation. However, don’t expect it to be the bible of the field, as such a thing does not exist (yet).
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Publisher: Springer
Number Of Pages: 301
Publication Date: 2005-08-23
Sales Rank: 3209407
ISBN / ASIN: 0387276971
EAN: 9780387276977
Binding: Hardcover
Manufacturer: Springer
Studio: Springer
Book Description: )
The need for natural and effective Human-Computer Interaction (HCI) is increasingly important due to the prevalence of computers in human activities. Computer vision and pattern recognition continue to play a dominant role in the HCI realm. However, computer vision methods often fail to become pervasive in the field due to the lack of real-time, robust algorithms, and novel and convincing applications. This state-of-the-art contributed volume is comprised of articles by prominent experts in computer vision, pattern recognition and HCI. It is the first published text to capture the latest research in this rapidly advancing field with exclusive focus on real-time algorithms and practical applications in diverse and numerous industries, and it outlines further challenges in these areas. Real-Time Vision for Human-Computer Interaction is an invaluable reference for HCI researchers in both academia and industry, and a useful supplement for advanced-level courses in HCI and Computer Vision.
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Publisher: Springer
Number Of Pages: 326
Publication Date: 2004-11-12
Sales Rank: 2989601
ISBN / ASIN: 1852336048
EAN: 9781852336042
Binding: Hardcover
Manufacturer: Springer
Studio: Springer
Book Description: )Recently, there has been a dramatic increase in the use of sensors in the non-visible bands. As a result, there is a need for existing computer vision methods and algorithms to be adapted for use with non-visible sensors, or for the development of completely new methods and systems. Computer Vision Beyond the Visible Spectrum is the first book to bring together state-of-the-art work in this area. It presents new & pioneering research across the electromagnetic spectrum in the military, commercial, and medical domains. By providing a detailed examination of each of these areas, it focuses on the development of state-of-the-art algorithms and looks at how they can be used to solve existing & new challenges within computer vision. Essential reading for academics & industrial researchers working in the area of computer vision, image processing, and medical imaging, it will also be useful background reading for advanced undergraduate & postgraduate students
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